Results 21 to 30 of about 905 (211)
An Efficient Approach for Mining High Average-Utility Itemsets in Incremental Database
Engineering ProceedingsTraditional high-utility itemset (HUI) mining methods tend to overestimate utility for long itemsets, leading to biased results. High average-utility itemset (HAUI) mining addresses this problem by normalizing utility with itemset length.
Ye-In Chang +2 more
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Efficient Algorithm for Mining Non-Redundant High-Utility Association Rules [PDF]
Sensors, 2020 In business, managers may use the association information among products to define promotion and competitive strategies. The mining of high-utility association rules (HARs) from high-utility itemsets enables users to select their own weights for rules ...
Thang Mai +4 more
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JUTI: Jurnal Ilmiah Teknologi InformasiThis research proposes the optimization of the Frequent Closed High-Utility Itemset Mining (FCHUIM) algorithm for retail transaction datasets using heuristic-based pruning techniques, Observed Support Ratio (OSR), Observed Weighted Lift (OWL), and ...
Kinana Syah Sulanjari, Chastine Fatichah
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TKU-PSO: An Efficient Particle Swarm Optimization Model for Top-K High-Utility Itemset Mining. [PDF]
International Journal of Interactive Multimedia and Artificial IntelligenceTop-k high-utility itemset mining (top- HUIM) is a data mining procedure used to identify the most valuable patterns within transactional data. Although many algorithms are proposed for this purpose, they require substantial execution times when the ...
Simen Carstensen, Jerry Chun Wei Lin
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FHUQI-Miner: Fast high utility quantitative itemset mining [PDF]
, 2021 High utility itemset mining is a popular pattern mining task, which aims at revealing all sets of items that yield a high profit in a transaction database. Although this task is useful to understand customer behavior, an important limitation is that high
Nouioua, Mourad +4 more
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A Reinduction-Based Approach for Efficient High Utility Itemset Mining from Incremental Datasets
Data Science and Engineering, 2023 High utility itemset mining is a crucial research area that focuses on identifying combinations of itemsets from databases that possess a utility value higher than a user-specified threshold.
Pushp Sra, Satish Chand
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An Efficient Method for Mining Closed Potential High-Utility Itemsets
IEEE Access, 2020 High-utility itemset mining (HUIM) has become a key phase of the pattern mining process, which has wide applications, related to both quantities and profits of items. Many algorithms have been proposed to mine high-utility itemsets (HUIs).
Bay Vo +5 more
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A New Algorithm for High Average-utility Itemset Mining [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 High utility itemset mining (HUIM) is a new emerging field in data mining which has gained growing interest due to its various applications. The goal of this problem is to discover all itemsets whose utility exceeds minimum threshold.
A. Soltani, M. Soltani
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A One-Phase Tree-Structure Method to Mine High Temporal Fuzzy Utility Itemsets
Applied Sciences, 2022 Compared to fuzzy utility itemset mining (FUIM), temporal fuzzy utility itemset mining (TFUIM) has been proposed and paid attention to in recent years.
Tzung-Pei Hong +5 more
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TUB-HAUPM: Tighter Upper Bound for Mining High Average-Utility Patterns
IEEE Access, 2018 High-utility itemset mining (HUIM) has been gaining popularity in the field of data mining. Frequent itemset mining used to be the main tool to reveal high-frequency patterns but failed to consider the concept of profit.
Jimmy Ming-Tai Wu +3 more
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